Medicine and Health Sciences Commons^™

Copy Number Variation Signature To Predict Human Ancestry, Melissa Pronold, Marzieh Vali, Roger Pique-Regi, Shahab Asgharzadeh

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Copy number variations (CNVs) are genomic structural variants that are found in healthy populations and have been observed to be associated with disease susceptibility. Existing methods for CNV detection are often performed on a sample-by-sample basis, which is not ideal for large datasets where common CNVs must be estimated by comparing the frequency of CNVs in the individual samples. Here we describe a simple and novel approach to locate genome-wide CNVs common to a specific population, using human ancestry as the phenotype.

Results

We utilized our previously published Genome Alteration Detection Analysis (GADA) algorithm to identify common ancestry …

Genetic Studies Of Complex Human Diseases: Characterizing Snp-Disease Associations Using Bayesian Networks, Bing Han, Xue-Wen Chen, Zohreh Talebizadeh, Hua Xu

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Detecting epistatic interactions plays a significant role in improving pathogenesis, prevention, diagnosis, and treatment of complex human diseases. Applying machine learning or statistical methods to epistatic interaction detection will encounter some common problems, e.g., very limited number of samples, an extremely high search space, a large number of false positives, and ways to measure the association between disease markers and the phenotype.

Results

To address the problems of computational methods in epistatic interaction detection, we propose a score-based Bayesian network structure learning method, EpiBN, to detect epistatic interactions. We apply the proposed method to both simulated datasets and …

Down-Weighting Overlapping Genes Improves Gene Set Analysis, Adi Tarca, Sorin Draghici, Gaurav Bhatti, Roberto Romero

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

The identification of gene sets that are significantly impacted in a given condition based on microarray data is a crucial step in current life science research. Most gene set analysis methods treat genes equally, regardless how specific they are to a given gene set.

Results

In this work we propose a new gene set analysis method that computes a gene set score as the mean of absolute values of weighted moderated gene t-scores. The gene weights are designed to emphasize the genes appearing in few gene sets, versus genes that appear in many gene sets. We demonstrate the …

Genetic Variation In Glutathione S-Transferase Omega-1, Arsenic Methyltransferase And Methylene-Tetrahydrofolate Reductase, Arsenic Exposure And Bladder Cancer: A Case–Control Study, Jennifer L. Beebe-Dimmer, Priyanka T. Iyer, Jerome O. Nriagu, Greg R. Keele, Shilpin Mehta, Jaymie R. Meliker, Ethan M. Lange, Ann G. Schwartz, Kimberly A. Zuhlke, David Schottenfeld, Kathleen A. Cooney

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Ingestion of groundwater with high concentrations of inorganic arsenic has been linked to adverse health outcomes, including bladder cancer, however studies have not consistently observed any elevation in risk at lower concentrations. Genetic variability in the metabolism and clearance of arsenic is an important consideration in any investigation of its potential health risks. Therefore, we examined the association between genes thought to play a role in the metabolism of arsenic and bladder cancer.

Methods

Single nucleotide polymorphisms (SNPs) in GSTO-1, As3MT and MTHFR were genotyped using DNA from 219 bladder cancer cases and 273 controls participating in a …

Recent Updates On The Role Of Micrornas In Prostate Cancer, Oudai Hassan, Aamir Ahmad, Seema Sethi, Fazlul H. Sarkar

Wayne State University Associated BioMed Central Scholarship

Abstract

MicroRNAs (miRNAs) are short non-coding RNAs that are involved in several important biological processes through regulation of genes post-transcriptionally. Carcinogenesis is one of the key biological processes where miRNAs play important role in the regulation of genes. The miRNAs elicit their effects by binding to the 3' untranslated region (3'UTR) of their target mRNAs, leading to the inhibition of translation or the degradation of the mRNA, depending on the degree of complementary base pairing. To-date more than 1,000 miRNAs are postulated to exist, although the field is moving rapidly. Currently, miRNAs are becoming the center of interest in a …

Erlin2 Promotes Breast Cancer Cell Survival By Modulating Endoplasmic Reticulum Stress Pathways, Guohui Wang, Gang Liu, Xiaogang Wang, Seema Sethi, Rouba Ali-Fehmi, Judith Abrams, Ze Zheng, Kezhong Zhang, Stephen Ethier, Zeng-Quan Yang

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Amplification of the 8p11-12 region has been found in approximately 15% of human breast cancer and is associated with poor prognosis. Previous genomic analysis has led us to identify the endoplasmic reticulum (ER) lipid raft-associated 2 (ERLIN2) gene as one of the candidate oncogenes within the 8p11-12 amplicon in human breast cancer, particularly in the luminal subtype. ERLIN2, an ER membrane protein, has recently been identified as a novel mediator of ER-associated degradation. Yet, the biological roles of ERLIN2 and molecular mechanisms by which ERLIN2 coordinates ER pathways in breast carcinogenesis remain unclear.

Methods

We established the MCF10A-ERLIN2 …